| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:SENZORJI PAMETNIH TELEFONOV IN IMPLEMENTACIJA SENZORJA POSPEŠEVANJA
Authors:ID Dogša, Jan (Author)
ID Podgorelec, Vili (Mentor) More about this mentor... New window
Files:.pdf VS_Dogsa_Jan_2014.pdf (9,11 MB)
MD5: 12D163B94A094077963A18F13C78937E
 
Language:Slovenian
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu so predstavljeni senzorji pametnih telefonov in njihova funkcionalnost. Še posebej smo se osredotočili na senzor pospeševanja, ki je sestavni del vsakega pametnega telefona Z implementacijo tega senzorja izmerimo podatke gibanja telefona, oziroma njegovega pospeška. Če senzor pospeševanja izmeri večja nihanja, skušamo ugotoviti za katero vrsto gibanja gre. V našem primeru poskušamo prepoznati padec. Prepoznavanje vrste gibanja zahteva posebno študijo, ki vključuje delo s klasifikacijskimi metodami. Zabeležena gibanja smo v okolju Weka z različnimi nastavitvami klasificirali in primerjali med seboj ter določili najprimernejše klasifikacijske metode za naš primer – prepoznavanje padca. Rezultati so pokazali razmeroma uspešno klasifikacijo primerkov.
Keywords:pametni telefoni, senzorji, senzor pospeševanja, Android, klasifikacija
Place of publishing:Maribor
Publisher:[J. Dogša]
Year of publishing:2014
PID:20.500.12556/DKUM-44689 New window
UDC:681.586:[621.395.721:004.7](043.2)
COBISS.SI-ID:19129878 New window
NUK URN:URN:SI:UM:DK:FVXHCYZJ
Publication date in DKUM:06.11.2015
Views:2043
Downloads:257
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Secondary language

Language:English
Title:SENSORS ON SMART PHONES AND IMPLEMENTATION OF ACCELEROMETER
Abstract:In the thesis are presented sensors of smart phones and their functionality. In particular, we focused on the accelerometer sensor, which are an integral part of every smart phone. Phone acceleration was measured with implementation of sensor accelerometer. If accelerometer determine greater variation, we try to determine what type of movement was involved in our case, we tried to identify fall. Identifying movements requires a special study involving work with classifier methods. Recorded movements were classified and compared with each other in Weka environment and determined the most appropriate classification method for our example – identifying the fall. The results showed us a relatively successful classification of specimens.
Keywords:smart phone, sensors, accelerometer, Android, classification


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica